Data Engineer

We are seeking a skilled Data Engineer with 2+ years of experience in designing and maintaining data pipelines. The ideal candidate will have strong expertise in PySpark, Python, SQL,and ETL orchestration tools and will play a key role in building, optimizing, and managing scalable data workflows across cloud environments. This role offers the opportunity to work on high-impact data engineering projects and contribute to the development of robust, efficient and reliable data solutions.

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Key Responsibilities

• Develop and manage PySpark-based notbooks in MS Fabric.
• Write efficient SQL queries for data transformation.
• Automate and orchestrate data pipelines using tools like Dagster or ADF.
• Work with Microsoft Fabric for integration and analytics.
• (Optional) Build reports and dashboards in Power BI.

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Requirements:

• 2+ years in data engineering.
• Strong hands-on experience with PySpark, Python, and SQL.
• Experience with any orchestration tool (Dagster, ADF, etc.).
• Familiarity with Fabric or cloud data platforms.

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Perks & Benefits:

• Competitive salary
• Opportunities for advancement
• Professional training and certifications
• Food, travel, gym allowance
• Paid time off and holidays
• Bi-annual increments and bonuses
• Opportunity for certifications 
• Working on modern Technologies
• Flexible working hours
  
  

How to Apply:

Interested candidates are invited to submit their resume and a cover letter detailing their relevant experience and why they are a good fit for this position to hr@datumlabs.io. Or fill out the form here!.

Datum Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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